INTACT SOLUTIONS, INC — National Aeronautics and Space Administration SBIR Phase I: Z2
INTACT SOLUTIONS, INC — SBIR Phase I award from National Aeronautics and Space Administration.
Phase I SBIR feasibility signal
- Phase I awards fund proof-of-concept work. For capture teams, they mark early interest from National Aeronautics and Space Administration in a technical approach.
- Watch for Phase II follow-ons from the same firm/topic family — that conversion path is where budgets and transition pressure rise.
- Obligated amount $149,797. Cross-check similar awards in the same agency and technology tags for going-rate context.
- Topic code Z2 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $149,797
- Agency
- National Aeronautics and Space Administration
- Program / Phase
- SBIR · Phase I
- Topic
- Z2
- Solicitation
- SBIR_22_P1
- NAICS
- —
- Place of performance
- WI
- Period
- 2022-07-22 → 2023-01-25
Description
With funding from DARPA, Intact Solutions (IS) has developed Intact.Generative (IG), a plug-and-play topology optimization (TO) toolkit for structural and heat conduction based problems. In this project, we will extend IG into a robust commercial strength toolkit for TO of thermal/fluid components in thermal control systems. The innovative features of this project include:A modularized plug-and-play framework for multiphysics where users can customize the modules, e.g., plug-in turbulence models or add new physics. More importantly, users can plug-in their physis-based manufacturing modules to account for the rapidly evolving manufacturing techniques.Our algorithm does not rely on meshing the fluid and/or solid geometries. This paves the way for setting up an automated TO workflow which does not require user intervention for defeaturing and clean-up. Furthermore, it allows for interoperability with widely used simulation software such Abaqus/Ansys/NASTRAN/MFEM.We employ a CAD aware design methodology using implicit modeling, where the raw output geometries yielded by TO algorithm can be seamlessly exported to a typical CAD/CAE software in an automated way for downstream applications such as validating/certifying the optimized designs.The current state of the art (SOA)nbsp; topology optimization tools need to address several challenges before TO based approaches can become standard practice in the design of thermal/fluid and other components involving multiple physics simulations. Most of these challenges are related to modularization, meshing, automation, and interoperability. Our innovation, IG, adopts a plug-and-play approach based on a decoupled geometry-simulation framework and implicit modeling to seamlessly address these challenges. Consequently, IG will be the perfect tool that can help designers in the development of high-performance thermal control systems that can produces using modern manufacturing techniques.